Latest AI and machine learning research in strokes for healthcare professionals.
PURPOSE: To identify novel technologies pertinent to the prevention, diagnosis, treatment, and rehab...
BACKGROUND: Atrial fibrillation (AF) is associated with substantial morbidity, especially when it go...
Radiomics, quantitative feature extraction from radiological images, can improve disease diagnosis a...
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has caused health concerns worldwide si...
BACKGROUND: Regaining gait capacity is an important rehabilitation goal post stroke. Compared to cli...
BACKGROUND AND PURPOSE: The importance of environmental factors for stroke patients to achieve home ...
Acute ischemic stroke (AIS) has been a common threat to human health and may lead to severe outcomes...
Repetitive and specific verbal cues by a therapist are essential in aiding a patient's motivation an...
While neuro-recovery is maximized through active engagement, it has been suggested that the use of r...
To identify the most important parameters associated with cerebral white matter hyperintensities (WM...
INTRODUCTION: Upper limb motor impairment is one of the most frequent stroke consequences. Robot the...
Anginal symptoms can connote increased cardiac risk and a need for change in cardiovascular manageme...
Quantitative Na magnetic resonance imaging (MRI) provides tissue sodium concentration (TSC), which ...
BACKGROUND: Robotic rehabilitation after stroke provides the potential to increase and carefully con...
Visual or manual characterization and classification of atherosclerotic plaque lesions are tedious, ...
BACKGROUND AND PURPOSE: Traditional statistical models and pretreatment scoring systems have been us...
Stroke is a leading cause of death and disability worldwide and survivors are frequently left with l...
We identified the prevalence of elevated high-sensitivity C-reactive protein and interleukin-6 in pa...
Recent studies have combined multiple neuroimaging modalities to gain further understanding of the n...
Convolutional neural networks (CNNs) have become an increasingly popular tool for brain lesion segme...
BACKGROUND: Predictive maps of the final infarct may help therapeutic decisions in acute ischemic st...